DVC Extension for VS Code: How to Organize Columns in the ML Experiments Table

Are the number of columns growing in your machine learning project and getting unwieldy? Matt Seddon from the VS Code extension team shows us all the ways you can adjust to columns in the DVC Extension for VS Code to make your experience more efficient while simultaneously being able to version your data, code, models and experimentation with DVC making every step of your proces reproducible. These options include:

drag and drop columns or column groups
using the tree on the left hand side,
use the quick pick at the top, or
right click on a column to select which column or columns you would like to quickly move to the start

All these ways will get you set up for success and efficiency!

Try out the DVC Extension for VS Code here: https://marketplace.visualstudio.com/...

To learn more about Iterative's open-source and SaaS tools please visit:
🧑🏽‍💻 Our free online course: https://learn.iterative.ai
✍🏼 Our docs: https://dvc.org/doc (Data Version Control, Pipelines, Experiments)
https://cml.dev/doc (CI/CD for Machine Learning)
https://mlem.ai/doc (Package and Serve your models)
https://studio.iterative.ai (Team Collaboration, Experiments, Model Registry)

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